Software Development Engineer - Amazon Redshift Connectivity, Amazon Redshift @ Amazon Web Services, Inc. - East Palo Alto, CA

Job Overview

a month ago

Software Development Engineer - Amazon Redshift Connectivity, Amazon Redshift

Amazon Web Services, Inc. - East Palo Alto, CA

  • 1+ years of experience contributing to the system design or architecture (architecture, design patterns, reliability and scaling) of new and current systems.
  • 2+ years of non-internship professional software development experience
  • Programming experience with at least one software programming language.

Job summary
Amazon Redshift Connectivity team is responsible for building client drivers, connectors and tools that allow an ever growing ecosystem of client applications to access Amazon Redshift through different programming languages and platforms.

Amazon Redshift is a rapidly growing, fast and powerful, fully managed, petabyte-scale data warehouse service in the cloud. It enables customers to dramatically increase their query performance when analyzing virtually any size data set using the same SQL-based business intelligence tools they use today. They can launch a fully operational service with a few clicks for as low as under $1000 per terabyte per year. Amazon Redshift manages all the work needed to set up, operate, and scale a data warehouse, from provisioning capacity and installing software to monitoring and backing up the cluster, to applying patches and upgrades. By automating these labor-intensive tasks, Amazon Redshift enables customers to spend their time focusing on their data and business insights, rather than on procuring and managing infrastructure.
Joining the Amazon Redshift team gives you the opportunity to:
  • Work on a disruptive product that’s still in its early stages
  • Solve challenging problems that will revolutionize database computing in the cloud
  • Build a product that will leverage the scale of resources available in the cloud
  • Work for a company that’s a recognized leader in the cloud computing space
  • Be involved in the fast growing, big data space

In this role, you will have responsibility for:
  • Translating functional and technical requirements into detailed architecture and design
  • Coding and testing client drivers, connectors and tools.
  • Participating in code and design reviews to maintain our high development standards

About Us:

Inclusive Team Culture
Here at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences.

Work/Life Balance
Our team puts a high value on work-life balance. It isn’t about how many hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives.

Mentorship & Career Growth
Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded engineer and enable them to take on more complex tasks in the future.

  • Strong knowledge of Computer Science fundamentals in object-oriented design, data structures, algorithm design, problem solving, and complexity analysis
  • Knowledge of, at least, one modern programming language such as C, C++, Java
  • Experience developing complex software systems that have been successfully delivered to customers
  • Knowledge of professional software engineering practices & best practices for the full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations.

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.

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